{"id":8179,"date":"2025-03-18T12:54:38","date_gmt":"2025-03-18T12:54:38","guid":{"rendered":"https:\/\/meteolab.ai\/?post_type=product&#038;p=8179"},"modified":"2025-03-20T14:47:01","modified_gmt":"2025-03-20T14:47:01","slug":"deszczomierz-radarowy-ml-rs2","status":"publish","type":"product","link":"https:\/\/meteolab.ai\/index.php\/product\/deszczomierz-radarowy-ml-rs2\/","title":{"rendered":"Deszczomierz radarowy ML-RS2"},"content":{"rendered":"<p>Deszczomierz radarowy ML-RS2 wykorzystuje niewielkich rozmiar\u00f3w zaawansowany radar Dopplera 24GHz. Poprzez por\u00f3wnanie pr\u0119dko\u015bci spadania kropel z ich rozmiarem, rejestrowana jest ilo\u015b\u0107 opadu, jego intensywno\u015b\u0107 i rodzaj (deszcz\/\u015bnieg\/grad). Rozdzielczo\u015b\u0107 do 0,1 mm. Nie wymaga konserwacji, jest bezobs\u0142ugowy. Nie jest wra\u017cliwy na mog\u0105ce zgromadzi\u0107 si\u0119 na jego powierzchni zanieczyszczenia (np. li\u015bcie) jak r\u00f3wnie\u017c na ewentualne oblodzenia. Deszczomierz ML-RS2 jest skalibrowany i por\u00f3wnywany z referencyjnym deszczomierzem z korytkowym w naturalnych warunkach, aby zapewni\u0107 jego dok\u0142adno\u015b\u0107 i sp\u00f3jno\u015b\u0107.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deszczomierz radarowy ML-RS2 Modbus RTU do pomiar\u00f3w opad\u00f3w deszczu, gradu i \u015bniegu.<\/p>\n","protected":false},"featured_media":8398,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_cat":[3072],"product_tag":[],"class_list":["post-8179","product","type-product","status-publish","has-post-thumbnail","product_cat-inne","first","instock","shipping-taxable","purchasable","product-type-simple"],"etheme_brands":{"errors":{"invalid_taxonomy":["Nieprawid\u0142owa taksonomia."]},"error_data":[]},"_links":{"self":[{"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/product\/8179","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/comments?post=8179"}],"version-history":[{"count":1,"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/product\/8179\/revisions"}],"predecessor-version":[{"id":8209,"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/product\/8179\/revisions\/8209"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/media\/8398"}],"wp:attachment":[{"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/media?parent=8179"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/product_cat?post=8179"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/meteolab.ai\/index.php\/wp-json\/wp\/v2\/product_tag?post=8179"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}